The Role:

As our Research Engineer, you will sit at the boundary between frontier machine-learning research and shipped product. You will take ideas from the research edge, reinforcement learning, RLHF, multi-objective policy optimisation and LLM post-training, and turn them into capabilities that make our platforms measurably better.

This is a Research Engineer role. You will read the literature, prototype quickly, and see your work through into systems our customers depend on, while connecting that research to OD's product vision and to what our customers actually need.

The Right Fit:

Your responsibilities will include, but are not limited to:

• Apply and adapt machine-learning and reinforcement-learning research to OD's product roadmap, translating research direction into shippable capability
• Design, train and evaluate models using reinforcement learning, RLHF and multi-objective policy optimization, balancing competing objectives such as accuracy, safety, latency and cost
• Work on LLM post-training: fine-tuning, alignment, reward modelling and rigorous evaluation
• Prototype fast, then work with the engineering teams to harden what works into production
• Define how frontier models can be evaluated and how decision making can be audited
• Engage directly with customers and stakeholders, explaining technical approaches to non-specialists and feeding real-world needs back into the research agenda
• Help shape OD's research and product vision, bringing a clear point of view on where the field is heading and what OD should build next

Requirements

What You Can Bring To Oxford Dynamics

You will operate as both a researcher and an engineer: reading the frontier, building real systems, and acting as a credible technical voice with customers. A strong focus on turning research into product impact, with the judgement to know what is worth building.

Qualifications, Experience And Skills

• A PhD in AI, machine learning or a closely related field, or holding a current postdoctoral research position in Machine Learning
• Strong grounding in Machine Learning and reinforcement learning, including RLHF
• Hands-on experience with multi-objective policy optimisation
• Solid knowledge of transformer architectures and LLM post-training (fine-tuning, alignment, reward modelling)
• Publications at top-tier AI conferences such as ICML, ICLR, NeurIPS, CVPR, etc
• Experience using HPCs and CUDA for training large-scale models
• The ability to translate research into a product vision and carry it through to delivery

Nice to have: computer vision experience, open-source contributions, or applied research that shipped into a product.

Soft Skills

• Commercial thinking: an instinct for connecting research effort to product value and customer impact, rather than research for its own sake
• Communication and client-facing skills: able to explain complex ideas clearly to both technical and non-technical audiences, including customers
• Calm, judgement-led decision making, and comfort operating in ambiguity with fast-moving priorities

Benefits

Why Oxford Dynamics?

Join the most exciting growth area in the UK: AI and Robotics. Every member of the team has a major impact on the products and services we provide. Regardless of job title, you'll get to make a real difference and learn from colleagues about all areas of our business.

Benefits

• Rapid career progression with meaningful ownership of core systems
• Conference and tool budget
• Flexible, Hybrid working model
• Company pension (NEST, 4% employer contribution)
• Private healthcare
• 29 days holiday plus public holidays

Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.